Triple
T3388367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Punta Helbronner |
E71355
|
entity |
| Predicate | overlooks |
P1323
|
FINISHED |
| Object | Dent du Géant |
E70463
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dent du Géant | Statement: [Punta Helbronner, overlooks, Dent du Géant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dent du Géant Context triple: [Punta Helbronner, overlooks, Dent du Géant]
-
A.
Dent du Géant
chosen
Dent du Géant is a striking granite peak in the Mont Blanc massif of the Alps, renowned among climbers for its distinctive tooth-like shape and challenging ascents.
-
B.
Puy de Sancy
Puy de Sancy is a prominent volcanic peak in central France known for being the tallest mountain in the Massif Central range.
-
C.
Rocher Saint-Michel d’Aiguilhe
Rocher Saint-Michel d’Aiguilhe is a dramatic volcanic plug in central France crowned by a 10th-century chapel dedicated to Saint Michael, accessible via a steep staircase carved into the rock.
-
D.
Mont Maudit
Mont Maudit is a prominent peak in the Mont Blanc massif of the Alps, known for its challenging mixed climbing routes and high-altitude glaciated terrain.
-
E.
Pont Drouin
Pont Drouin is a bridge spanning the Saint-Charles River in Quebec, Canada.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb665c6008190b33994ef20f5bd61 |
completed | March 8, 2026, 5:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b33458130881908a2b47abd91f4ea8 |
completed | March 12, 2026, 9:47 p.m. |
Created at: March 8, 2026, 3:14 p.m.